Investment Risk

Job Category Predictive Science Wealth Management WM Investment Risk Analytics IR A is responsible for the risk oversight of the Managed Strategies from end to end across the WM s Private Bank and Consumer Bank businesses Managed Strategies included JPMorgan s own proprietary products and third-party funds to include registered funds exchange traded notes ETNs exchange traded funds ETFs separately managed accounts hedge funds and private equity and real estate funds etc We are looking for individuals who can partner with senior members of our team to oversee business activities models and methodologies related to investment risk with an emphasis on developing new tools and methodologies that will aid in risk quantification Job responsibilities Design develop and deploy advanced AI ML models to derive actionable insights automate processes and facilitate strategic decision-making across various business units Collaborate with teams to design and oversee the end-to-end lifecycle of AI ML initiatives - from problem scoping data engineering model development validation deployment to monitoring Lead the model development process including tasks such as data wrangling analysis model training testing and selection Conduct risk modeling scenario analysis and business impact evaluations to ensure AI ML solutions are robust ethical and aligned with organizational goals Drive experimentation with advanced techniques such as deep learning generative AI e g LLMs GANs and reinforcement learning to solve complex business challenges and create value Utilize advanced statistics econometrics and mathematical skills including graph theory applications probability theory stochastic calculus Monte Carlo simulation numerical analysis optimization techniques and time series analysis Collaborate with Technology on model testing implementation and production Provide mentorship and oversight for junior data scientists to build a collaborative working culture Deliver written visual and oral presentation of modeling results to business and technical stakeholders Stay abreast of emerging trends and research in AI and machine learning and assess their potential application within the organization Contribute to continuous innovation and improvement in the efficiency and effectiveness of processes within the asset-class group including discussions on overall team strategy Represent risk analytics in governance forums risk committees and audit discussions Work with risk managers and other stakeholders to address requests for additional analysis based on specific needs Participate in regulatory and validation exams by providing documentation and responses to regulators and internal validators Partner with non-credit risk groups to identify and understand the simultaneous impact of multiple risks such as product fiduciary counterparty concentration ESG climate liquidity and their effect on investments Required qualifications capabilities and skills 5 years of hands-on experience in data science machine learning or AI Bachelors Master PhD degree in Computer Science Data Science Mathematics Statistics relevant STEM field is highly preferred Demonstrated experience with generative AI technologies such as transformers large language models or diffusion models Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning e g ensemble methods NLP time-series Probability Theory and Linear Algebra Experience with Machine Learning Deep Learning concepts including data representations neural network architectures custom loss functions Foundational mathematical concepts including continuity differentiability Taylor formulas differential equations integration measure theory linear algebra discrete and continuous probabilities Markov chains regression Have experience with investment products including fixed income equity and mutual funds Programming skills in Python and knowledge of common numerical and machine-learning packages like NumPy scikit-learn pandas PyTorch LangChain LangGraph etc Experience with data visualization tools such as Tableau Power BI or similar Logical thought process ability to scope out an open-ended problem into data driven solution Strong quantitative and analytical skills and ability to work with diverse cultures in a global team About Us JPMorganChase one of the oldest financial institutions offers innovative financial solutions to millions of consumers small businesses and many of the world s most prominent corporate institutional and government clients under the J P Morgan and Chase brands Our history spans over 200 years and today we are a leader in investment banking consumer and small business banking commercial banking financial transaction processing and asset management We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success We are an equal opportunity employer and place a high value on diversity and inclusion at our company We do not discriminate on the basis of any protected attribute including race religion color national origin gender sexual orientation gender identity gender expression age marital or veteran status pregnancy or disability or any other basis protected under applicable law We also make reasonable accommodations for applicants and employees religious practices and beliefs as well as mental health or physical disability needs Visit our for more information about requesting an accommodation About the Team J P Morgan Asset Wealth Management delivers industry-leading investment management and private banking solutions Asset Management provides individuals advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals Wealth Management helps individuals families and foundations take a more intentional approach to their wealth or finances to better define focus and realize their goals